Evidence map›Paper›PMID 42678811›Full record

ArticleSTAR protocols2026

Protocol for isolation of interstitial fluid from tumor-draining lymph nodes for proteomic profiling in murine breast cancer models.

Greta Mattavelli, Jonathan J Swietlik, Moutaz Helal, Arpa Aintablian, Felix Meissner, Angela Riedel

Erratum issuedAbstract read
In one paragraph

Article in STAR protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Greta MattavelliMildred Scheel Early Career Centre (MSNZ) for Cancer Research Würzburg, University Hospital Würzburg and University of Würzburg, Würzburg, Germany. Electronic address: greta.mattavelli@uni-wuerzburg.de.
Jonathan J SwietlikExperimental Systems Immunology, Max Planck Institute of Biochemistry, Martinsried, Germany.
Moutaz HelalMildred Scheel Early Career Centre (MSNZ) for Cancer Research Würzburg, University Hospital Würzburg and University of Würzburg, Würzburg, Germany.
Arpa AintablianMildred Scheel Early Career Centre (MSNZ) for Cancer Research Würzburg, University Hospital Würzburg and University of Würzburg, Würzburg, Germany.
Felix MeissnerExperimental Systems Immunology, Max Planck Institute of Biochemistry, Martinsried, Germany; Institute of Innate Immunity, Department of Systems Immunology and Proteomics, Medical Faculty, University of Bonn, Bonn, Germany.
Angela RiedelMildred Scheel Early Career Centre (MSNZ) for Cancer Research Würzburg, University Hospital Würzburg and University of Würzburg, Würzburg, Germany; Theodor Boveri Institute, Department of Biochemistry and Molecular Biology, Biocenter, University of Würzburg, Würzburg, Germany. Electronic address: angela.riedel@uni-wuerzburg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumors release soluble factors that reach tumor-draining lymph nodes (TDLNs), where they induce remodeling already at the pre-metastatic stage and alter the local proteomic landscape. Here, we describe a protocol for isolating interstitial fluid from primary tumors and TDLNs in murine breast cancer models to study extracellular protein composition while preserving tissue viability and integrity. We outline key steps for tissue preparation, fluid extraction, and downstream bioinformatic analysis to support the characterization of tumor-associated changes in TDLNs. For complete details on the use and execution of this protocol, please refer to Mattavelli et al.

Indexed as

CancerCell BiologyImmunologyProteomics

Identifiers

PMID42678811
PMCPMC13562074

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.